The Mobility and Machine Intelligence Lab (M2 Lab) at Stony Brook University brings together game theory and data-driven optimization to develop next-generation modeling and computational tools for mobility and logistics systems, with a focus on connectivity, electrification, and automation. See Research for details.
We are recruiting fully funded PhD students beginning Fall 2027, as well as motivated MS and BS students. See Openings for details.
News
- 2026.08.24 We are delighted to welcome Zhanyu Feng and Rui Chen, who join the lab this fall as Ph.D. students.
- 2026.08.04 Congratulations to Charlotte Cain, an undergraduate researcher in the lab, who was named URECA Researcher of the Month for her work exploring AI and education. Very well deserved.
- 2026.07.20 Dr. Liu presented Large-Scale Inverse Learning of User Equilibrium via Multiconvex Optimization in a podium session at the 26th International Symposium on Transportation and Traffic Theory (ISTTT26) in Munich.
- 2026.05.20 We are pleased to share that Large-scale inverse learning of user equilibrium via multiconvex optimization is now published in Transportation Research Part B.
- 2026.05.01 Congratulations to undergraduate researchers Evelyn Sun and Jacqueline Louie, who presented at the SUNY AI Symposium here at Stony Brook on how game-theoretic models and large language models can support the safe integration of autonomous vehicles into traffic.
- 2025.07.26 We are pleased to share that End-to-End Learning of User Equilibrium: Expressivity, Generalization, and Optimization, co-authored with Dr. Yafeng Yin, is now published in Transportation Science.
Earlier news
- 2025.03.11 Dr. Liu was honored as the sole global recipient of the 2025 Helene M. Overly Memorial Scholarship ($10,000) from the WTS International Foundation, recognizing her contributions to research and to the community.